Artificial Intelligence Engineer

AI Engineer – LLMs & Generative AI | Pharma Innovation | Remote |

A global pharmaceutical innovator is looking for a Freelance AI Engineer with deep expertise in Large Language Models (LLMs) and Generative AI to build scalable, production-grade AI solutions that transform how scientific and clinical knowledge is accessed and applied.

You’ll work alongside data scientists, ML researchers, and domain experts to turn cutting-edge models into real-world tools that accelerate R&D and improve patient care.

What You'll Do :

Architect and deploy LLM-powered applications (e.g. medical chatbots, document Q&A systems, insight generation tools)

Implement advanced retrieval-augmented generation (RAG) pipelines with vector stores (e.g. FAISS, Weaviate, Pinecone)

Optimise and fine-tune open-source or proprietary LLMs (e.g. LLaMA, Mistral, GPT-4) for pharma-specific use cases

Ensure scalability, performance, and security of AI applications in production environments

Collaborate with MLOps and DevOps to deploy models on cloud infrastructure (AWS / GCP / Azure)

Requirements :

Strong experience as an AI Engineer , ML Engineer , or similar role

Proven track record deploying LLMs or Gen AI models in production (via APIs, containers, or cloud-native apps)

Hands-on with LangChain , Transformers , Hugging Face , OpenAI , Vector DBs , and orchestration frameworks

Proficient in Python , with solid understanding of backend integration and API design

Experience with pharma , biotech , or regulated industries a plus (especially working with unstructured text data)